Topic Review
Line Feature, Vanishing Points and Manhattan World Analysis
In conventional point-line visual inertial odometry systems under indoor environment, consideration of spatial position recovery and line feature classification can improve localization accuracy. A monocular visual inertial odometry based on structured and unstructured line features of vanishing points is proposed. First, degeneracy phenomenon caused by special geometric relationship between epipoles and line features is analyzed in process of triangulation, and a degeneracy detection strategy is designed to determine the location of the epipoles. Then, considering the property that vanishing point and epipole coincide at infinity, vanishing point feature is introduced to solve the degeneracy and direction vector optimization problem of line features. Finally, threshold constraints are used to categorize straight lines into structural and non-structural features under the Manhattan world assumption, and the vanishing point measurement model is added to the sliding window for joint optimization. Comparative tests on the EuRoC and TUM-VI public datasets validated the effectiveness of the proposed method.
  • 42
  • 18 Mar 2024
Topic Review
Anomaly Detection in Autonomous Robotic Missions
An anomaly in autonomous robotic missions (ARM) is a deviation from the expected behaviour, performance, or state of the robotic system and its environment, which may impact the mission’s objectives, safety, or efficiency; and this anomaly can be caused either by system faults or the change in the environmental dynamics of interaction. The nuanced understanding of anomaly categories facilitates a more strategic approach, ensuring that detection methods are more effective in addressing the specific nature of the anomaly.
  • 226
  • 11 Mar 2024
Topic Review
Control Technology of Offshore Wind Power Systems
As global energy crises and climate change intensify, offshore wind energy, as a renewable energy source, is given more attention globally. The wind power generation system is fundamental in harnessing offshore wind energy, where the control and design significantly influence the power production performance and the production cost.
  • 114
  • 06 Mar 2024
Topic Review
Definition of Autonomous Cycles for the Agroindustrial Sector
One of the great current challenges of Micro, Small and Medium Enterprises (MSMEs) is to dynamically innovate to improve their supply of goods, products, and services in order to respond to the changing needs of the market. In particular, several studies have concluded that investment in innovation has a high impact on the competitiveness of organizations, which can lead to the introduction of new products and processes. Thus, innovation is a means for companies to adapt to remain in the market, considering available resources.
  • 36
  • 20 Feb 2024
Topic Review
Supervised Learning Approaches for Mobile Robot Control
Machine learning (ML) is a branch of artificial intelligence that has been developing at a dynamic pace in recent years. ML is also linked with Big Data, which are huge datasets that need special tools and approaches to process them. ML algorithms make use of data to learn how to perform specific tasks or make appropriate decisions. ML approaches that have been applied to the task of mobile robot control are divided into the following: supervised learning, unsupervised learning, and reinforcement learning. The supervised learning methods are grouped into two main categories of regression and classification.
  • 52
  • 18 Feb 2024
Topic Review
Machine Learning for Building Energy Management
Machine learning (ML) algorithms are now part of everyday life, as many technological devices use these algorithms. Machine learning (ML) is now used in many industrial and scientific fields, from aerospace to marketing and advertising. In the architecture, engineering and construction (AEC) sector, ML models and algorithms can be applied to building automation systems (BASs) and building digital twins (BDT) to improve building energy efficiency and flexibility by making use of widely available building operational data. Such systems can automate building management, reducing global consumption of primary resources (i.e., energy and water), increasing indoor comfort, increasing structural safety, and reducing the need for building maintenance. 
  • 56
  • 18 Feb 2024
Topic Review
Building Management Systems and Operation
Artificial neural networks (ANNs) have become a cornerstone in efficiently managing building energy management systems (BEMSs) as they offer advanced capabilities for prediction, control, and optimization. 
  • 45
  • 02 Feb 2024
Topic Review
Hierarchical Understanding in Robotic Manipulation
In the quest for intelligent robots, it is essential to enable them to understand tasks beyond mere manipulation. Achieving this requires a robust parsing mode that can be used to understand human cognition and semantics.
  • 57
  • 31 Jan 2024
Topic Review
Intelligent and Collaborative Robotic System
Collaborative robotics represents a modern and efficient framework in which machines can safely interact with humans. Coupled with artificial intelligence (AI) systems, collaborative robots can solve problems that require a certain degree of intelligence not only in industry but also in the entertainment and educational fields.
  • 59
  • 09 Jan 2024
Topic Review
Learning Compliant Box-in-Box Insertion through Haptic-Based Robotic Teleoperation
In modern logistics, the box-in-box insertion task is representative of a wide range of packaging applications, and automating compliant object insertion is difficult due to challenges in modelling the object deformation during insertion. Using Learning from Demonstration (LfD) paradigms, which are frequently used in robotics to facilitate skill transfer from humans to robots, can be one solution for complex tasks that are difficult to mathematically model. 
  • 71
  • 05 Jan 2024
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